An incremental-learning model-based multiobjective estimation of distribution algorithm

Knowledge obtained from the properties of a Pareto-optimal set can guide an evolutionary search. Learning models for multiobjective estimation of distributions have led to improved search efficiency, but they incur a high computational cost owing to their use of a repetitive learning or iterative st...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Information sciences Jg. 569; S. 430 - 449
Hauptverfasser:	Liu, Tingrui, Li, Xin, Tan, Liguo, Song, Shenmin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.08.2021
Schlagworte:	Estimation of distribution Evolutionary algorithm Gaussian mixture model Incremental learning Multiobjective optimization Incremental learning Estimation of distribution Evolutionary algorithm Multiobjective optimization Gaussian mixture model
ISSN:	0020-0255, 1872-6291
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!